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Trend analysis of weather parameters over Indian Sundarbans

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Title Trend analysis of weather parameters over Indian Sundarbans
Not Available
D.B. Nayak
 
Creator U.K. Mandal
D.B. Nayak
S. Mullick
A. Samui
A.K. Jana
K.K. Mahanta
S. Raut
S. Roy
D. Burman
 
Subject Coastal region, climate change, trend analysis, Mann-Kendall test, Canning
 
Description Not Available
Sundarbans in West Bengal of India by virtue of its strategic location in the Eastern coast on the
Bay of Bengal falls in one of the most vulnerable zones of abrupt climate change. Temporal trends of
weather parameters of Canning Town (22o18'10.8'' N Latitude, 88o39'58.4'' E Longitude, elevation 3.52 m
msl) representing Indian Sundarbans were analysed by non-parametric Mann-Kendall test and Sen's
slope approaches. Analysis of long term rainfall data (1966-2015) indicated that Canning receives a mean
annual rainfall of 1821 mm (±341.8 mm) with a considerable variation (CV = 18.8%). The results revealed
that total annual rainfall trend decreased non-signicantly at the rate of 0.94 mm yr-1. On an average 84.4
rainy days in a year was recorded in the region, whereas during last ten years (2006-2015), the number of
rainy days was reduced to 79.7 days yr-1. There was no signicant change in maximum, minimum and
mean temperature of the region. Bright sunshine hours declined signicantly at an annual rate of 0.055 hr
yr-1. Reference crop evapotranspiration (ET ) calculated using FAO Penman-Monteith method revealed 0
that annual ET signicantly decreased at the rate of 5.98 mm yr-1. There was 2.7 times surplus rainfall than 0
crop evapotranspiration during monsoon months indicating very high scope of water harvesting to tackle
water logging during the monsoon season and unavailability of fresh water for irrigation during lean
season.
ICAR-NICRA
 
Date 2019-10-15T04:01:17Z
2019-10-15T04:01:17Z
2019-09-01
 
Type Journal
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/23356
 
Language English
 
Relation Not Available;
 
Publisher Association of Agrometeorologists